Upload cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json with huggingface_hub

cpu_inference_timm_image-classification_timm/resnet50.a1_in1k/benchmark_report.json

@@ -0,0 +1,55 @@
+{
+    "forward": {
+        "memory": {
+            "unit": "MB",
+            "max_ram": 545.984512,
+            "max_global_vram": null,
+            "max_process_vram": null,
+            "max_reserved": null,
+            "max_allocated": null
+        },
+        "latency": {
+            "unit": "s",
+            "count": 15,
+            "total": 1.0527162009999813,
+            "mean": 0.07018108006666542,
+            "stdev": 0.004227385099148537,
+            "p50": 0.07098819399999456,
+            "p90": 0.07340357139999014,
+            "p95": 0.07500841589999253,
+            "p99": 0.07761488158000247,
+            "values": [
+                0.07227759499997433,
+                0.07008305100001166,
+                0.07309078599999452,
+                0.07170597599997564,
+                0.07098819399999456,
+                0.07261515700000132,
+                0.07041498099999899,
+                0.07089348700000642,
+                0.07142086300001438,
+                0.06892199900002538,
+                0.07826649800000496,
+                0.07361209499998722,
+                0.06191595399999983,
+                0.06402905499999179,
+                0.06248051000000032
+            ]
+        },
+        "throughput": {
+            "unit": "samples/s",
+            "value": 14.248854521048894
+        },
+        "energy": {
+            "unit": "kWh",
+            "cpu": 2.4221498202654275e-06,
+            "ram": 1.0122640403255008e-07,
+            "gpu": 0.0,
+            "total": 2.5233762242979777e-06
+        },
+        "efficiency": {
+            "unit": "samples/kWh",
+            "value": 396294.45279338304
+        }
+    }
+}